Computational Biology | Oncology | Personalized Medicine GPDRP: a multimodal framework for drug response prediction with graph transformer. December 17, 2023
Bioinformatics | Computational Biology | Genomics scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data. December 16, 2023
Bioinformatics | Machine Learning | Oncology A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection. December 15, 2023
Biology | Computational Biology DL-PPI: a method on prediction of sequenced protein-protein interaction based on deep learning. December 15, 2023
Bioinformatics | Computational Biology | Virology HostNet: improved sequence representation in deep neural networks for virus-host prediction. December 1, 2023
Bioinformatics | Computational Biology Machine learning-based approaches for ubiquitination site prediction in human proteins. November 29, 2023
Bioinformatics | Drug Discovery | Molecular Biology AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encoders. November 27, 2023
Oncology | Pharmacology Predicting anticancer synergistic drug combinations based on multi-task learning. November 27, 2023
Bioinformatics | Neurology | Pharmacology A novel efficient drug repurposing framework through drug-disease association data integration using convolutional neural networks. November 22, 2023
Bioengineering | Immunology | Pharmacology DG-Affinity: predicting antigen-antibody affinity with language models from sequences. November 14, 2023
Bioinformatics | Computational Biology | Genomics Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data. November 14, 2023
Bioinformatics | Computational Biology | Proteomics Protein language models can capture protein quaternary state. November 14, 2023